J.P. Morgan Real Estate Income Trust, Inc.: cash and cash equivalents

What this measure means

Cash and qualifying short-term liquid investments under the filer’s accounting policy. Restricted cash and longer-term investments may be reported separately.

Exact concept: us-gaap:CashAndCashEquivalentsAtCarryingValue. Each value is a balance at the reporting date, not a flow earned over a year. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2021-12-31 to 2025-12-31. The SEC response was captured on 2026-09-21.

Selected filing history

Related financial histories

• J.P. Morgan Real Estate Income Trust, Inc.: total assets
• J.P. Morgan Real Estate Income Trust, Inc.: total liabilities
• J.P. Morgan Real Estate Income Trust, Inc.: stockholders equity
• J.P. Morgan Real Estate Income Trust, Inc.: operating cash flow
• J.P. Morgan Real Estate Income Trust, Inc.: revenue
• J.P. Morgan Real Estate Income Trust, Inc.: financing cash flow
• J.P. Morgan Real Estate Income Trust, Inc.: investing cash flow
• J.P. Morgan Real Estate Income Trust, Inc.: retained earnings or deficit
• J.P. Morgan Real Estate Income Trust, Inc.: basic weighted-average shares
• J.P. Morgan Real Estate Income Trust, Inc.: diluted weighted-average shares
• J.P. Morgan Real Estate Income Trust, Inc.: basic earnings per share
• J.P. Morgan Real Estate Income Trust, Inc.: diluted earnings per share
• J.P. Morgan Real Estate Income Trust, Inc.: share-based compensation expense
• J.P. Morgan Real Estate Income Trust, Inc.: operating income or loss
• J.P. Morgan Real Estate Income Trust, Inc.: net finite-lived intangible assets
• J.P. Morgan Real Estate Income Trust, Inc.: common-stock repurchase payments
• J.P. Morgan Real Estate Income Trust, Inc.: operating expenses

Inspect the source

Entity

J.P. Morgan Real Estate Income Trust, Inc. / CIK 0001893262

Captured

2026-09-21T17:33:38.828Z

SEC response SHA-256

e34423332e551fda354997e358b963d896c59acf1315ab2f5a6bd254c3da6e2f

Current SEC company facts · Download the original response snapshot (gzip) · Download the selected JSON

Latest-filed annual-report facts per unit and reporting period at capture time. Duration facts cover 300 to 400 days. This selection can include restatements and is not a point-in-time backtest dataset. Missing concepts are omitted, never zero-filled. Values retain original units and are not currency converted. Extended concepts require compatible unit shapes and at least three reporting ends with changing values within one unit. Constant or incompatible added histories are omitted.

Public company accounting reference, not market prices, returns, an investment recommendation, or ALPHAC performance. Validate a separately constructed return series with the validation API; accounting values are not returns.

Use this in research

A financial period ends before its results become public. Use the filing date as a minimum availability boundary, inspect amendments, and retain the original filing vintage when testing historical signals. This latest-filed selection can contain information unavailable at the time.

These pages do not supply prices, total-return histories, corporate-action adjustments or a tradable universe. Build those inputs separately before evaluating a strategy. A profitable backtest can still reflect selection bias or costs that were left out.

Research methodology · Execution and cost assumptions · Check backtest overfitting

Build with the open-source tools

Use these accounting records as inspectable inputs. When you have constructed a return series, the validation tools can help test its statistical evidence and preserve the result with its limitations.

• Get an API key and run your first validation
• Connect the MCP server to your coding assistant
• Inspect the ALPHAC engine on GitHub
• Read the MCP server source and integration examples

import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0001893262.json") as response:
    record = json.load(response)
print(record["fetched_at"])
print(record["policy"])
for concept in record["concepts"]:
    print(concept["tag"], next(iter(concept["observations"])))